AI Impact on Hotel Guest Satisfaction via Tailor-Made Services: A Case Study of Serbia and Hungary by Ranko Makivić, Dragan Vukolić, Sonja Veljović, Minja Bolesnikov, Lóránt Dénes Dávid, Andrea Ivanišević, Mario Silić, Tamara Gajić

“…This study examines the level of implementation of artificial intelligence (AI) in the personalization of hotel services and its impact on guest satisfaction through an analysis of tourists’ attitudes and behaviors The focus of the research is on how personalized recommendations for food and beverages, activities, and room services, delivered by trustworthy AI systems, digital experience, and the perception of privacy and data security, influence overall guest satisfaction. …”
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Digital Twins for Smarter Iranian Cities: A Future Studies Perspective by Nader Zali, Ali Soltani, Peyman Najafi, Salima Ebadi Qajari, Mehrdad Mehrju

“…Policy implications suggest that governments should prioritise supportive policies, investments in digital infrastructure, and collaborative efforts to address data privacy, security, and ownership issues. By addressing these challenges, developing countries can leverage UDT technology to improve urban planning, resource management, and quality of life.…”
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Influences of Human Presence on the Indoor Air Quality of Educational Institutions: Concurrent Multipollutant Sensing Approach by Rajib Das, Aritra Acharyya, Shubhankar Majumdar

“…PM findings were inconclusive because of concurrent inhalation effects. All occupancy data were privacy-preserving—images were processed on the device and never stored. …”
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Internet-Based Mass Communication in Multi-Level Marketing Companies Operating in Poland by Nowotarska-Romaniak Beata, Szczepanik Sonia

“…This study examines the areas of Internet-based mass communication (websites, social media) utilized by multi-level marketing (MLM) companies operating in Poland, using methods including literature review, descriptive analysis, and statistical analysis of primary data. …”
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Application of Terminal Audio Mixing in Multi-Bandwidth End-to-End Encrypted Voice Conference by Chi-Hung Lien, Ya-Ching Tu, Sheng-Lian Liao, Juei-Chi Chu, Chia-Yu Hsieh, Jyun-Jia Jhang

“…It can be used in low-bandwidth scenarios such as satellite networks. …”
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Application of Artificial Intelligence in Prosthodontics in the 21st century by Lavanya V, Keerthivasan MS, Venkatakrishnan CJ, Tamizhesai BV, Anandh V

“…Limitations include a lack of data privacy insufficient practitioner training high implementation costs ethical concerns and incomplete standardization of AI algorithms. …”
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Large-scale long-tailed disease diagnosis on radiology images by Qiaoyu Zheng, Weike Zhao, Chaoyi Wu, Xiaoman Zhang, Lisong Dai, Hengyu Guan, Yuehua Li, Ya Zhang, Yanfeng Wang, Weidi Xie

“…In this paper, we introduce RadDiag, a foundational model supporting 2D and 3D inputs across various modalities and anatomies, using a transformer-based fusion module for comprehensive disease diagnosis. …”
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Analyzing Visitor Behavior to Enhance Personalized Experiences in Smart Museums: A Systematic Literature Review by Rosen Ivanov, Victoria Velkova

“…The analysis reveals the primary methodologies applied and identifies the visitor behaviors that enable personalized content delivery. Statistical and Data Analysis is the predominant methodology in the reviewed publications. …”
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AI in the Classroom: Insights from Educators on Usage, Challenges, and Mental Health by Julie A. Delello, Woonhee Sung, Kouider Mokhtari, Julie Hebert, Amy Bronson, Tonia De Giuseppe

“…This study highlights a gap in institutional AI policies, leading some educators to establish their own guidelines, particularly for matters such as data privacy and plagiarism. Furthermore, respondents identified a significant need for professional development focused on AI literacy and ethical considerations. …”
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Efficient anonymous authentication protocol for internet of vehicles based on Chinese cryptographic SM2 by SU Binting, FANG He, XU Li

“…A pseudo-identity authentication mechanism was integrated into the protocol to strengthen the protection of vehicle privacy information, effectively concealing vehicles’ real identities and operational data. …”
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Harnessing Microbiome, Bacterial Extracellular Vesicle, and Artificial Intelligence for Polycystic Ovary Syndrome Diagnosis and Management by Bhawna Kushawaha, Tial T. Rem, Emanuele Pelosi

“…We explore the diagnostic potential of the AI-driven analysis of microbiome and BEV profiles, and address ethical considerations including data privacy and algorithmic bias. As these technologies continue to evolve, they hold increasing potential for the improvement of PCOS diagnosis and management, including the development of safer, more precise, and effective interventions.…”
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Comparison of medical history documentation efficiency and quality based on GPT-4o: a study on the comparison between residents and artificial intelligence by Xiaojing Lu, Xinqi Gao, Xinyi Wang, Zhenye Gong, Jie Cheng, Weiguo Hu, Shaun Wu, Rong Wang, Xiaoyang Li

“…Medical history quality was evaluated by two attending physicians with over 10 years of clinical experience using ten case content criteria. Data were analyzed using paired t-tests and Wilcoxon signed-rank tests, with Kappa coefficients used to assess scoring consistency. …”
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Information Security and Artificial Intelligence–Assisted Diagnosis in an Internet of Medical Thing System (IoMTS) by Pi-Yun Chen, Yu-Cheng Cheng, Zi-Heng Zhong, Feng-Zhou Zhang, Neng-Sheng Pai, Chien-Ming Li, Chia-Hung Lin

“…However, these digital data contain patients’ privacy and may be restricted to authorized users. …”
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Synthetic bone marrow images augment real samples in developing acute myeloid leukemia microscopy classification models by Jan-Niklas Eckardt, Ishan Srivastava, Zizhe Wang, Susann Winter, Tim Schmittmann, Sebastian Riechert, Miriam Eva Helena Gediga, Anas Shekh Sulaiman, Martin M. K. Schneider, Freya Schulze, Christian Thiede, Katja Sockel, Frank Kroschinsky, Christoph Röllig, Martin Bornhäuser, Karsten Wendt, Jan Moritz Middeke

“…Abstract High-quality image data is essential for training deep learning (DL) classifiers, yet data sharing is often limited by privacy concerns. …”
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Strengthening ethical oversight in genomics and biobanking: a retrospective analysis of research practices in Zimbabwe by Oppah Kuguyo, Alice Matimba, Florence Mutevedzi, Andrew Chimatira, Vasco Chikwasha, Abigail Kangwende, Lovemore Gwanzura, Paul Ndebele

“…Consent practices varied: 99(49.5%) protocols utilized specific consent, 37(18.5%) employed broad consent, and 37(18.5%) used blanket consent. Notably, 2(1%) protocols did not use consent forms, opting instead for broad or specific notifications. …”
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An AI-Based Telerehabilitation Solution to Improve Mobility in People With Multiple Sclerosis (the PLATINUMS Project): Protocol for an Implementation and Evaluation Study by Lars Hvid, Susan Coote, Massimiliano Pau, Alon Kalron

“…ResultsFunding for the PLATINUMS project was obtained in February 2024. WP2 data collection began in April 2025 across 4 European sites. …”
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Public Perception on Artificial Intelligence–Driven Mental Health Interventions: Survey Research by Mahima Anna Varghese, Poonam Sharma, Maitreyee Patwardhan

“…Major concerns included data privacy, security, the lack of human touch, and the potential for misdiagnosis. …”
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Mental health promotion in disasters: exploring the synergy of artificial intelligence, spirituality, and psychology: a SWOT analysis by Rasoul Fattahipour, Simintaj Sharififar, Fatemeh Teymouri, Maryam Azizi, Milad Ahmadi Marzaleh

“…In contrast, threats such as data privacy risks, algorithmic biases, and ethical concerns around informed consent and over-standardization of care are also addressed. …”
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Identification of Factors Affecting the Selection of Women's Gyms by Abbas Naghizadeh-Baghi, Masoud Imanzadeh, Mitra Lalfam, Farzad Nobakht Sareban, Majid Javid

“…The data were analyzed by SPSS26 software using Exploratory Factor Analysis test.Results: The results showed that 44 final characteristics affecting the selection of the gym were factorized into 8 factors by factor analysis and these factors explain 67% of the total variance.Conclusion:   Factors influencing the selection of women's gymnasiums in order of priority include Physical Evidence, process, Place, price, product, People, Promotion and Privacy.…”
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Students’ Perceptions of Learning Analytics for Mental Health Support: Qualitative Study by Aglaia Freccero, Miriam Onwunle, Jordan Elliott, Nathalie Podder, Julia Purrinos De Oliveira, Lindsay H Dewa

“…However, students raised concerns regarding data reliability and identified several ethical issues, such as privacy and lack of transparency. …”
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